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Artificial Intelligence

Google DeepMind's Gemma-4-E2B-it Model Released on Amazon SageMaker JumpStart

AWS incorporated Gemma-4-E2B-it, a multimodal and instruction-tuned foundation model from Google DeepMind, into Amazon SageMaker JumpStart for efficient AI application development.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-07-13. Source published: 2026-07-13. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

Gemma-4-E2B-it processes text, image, and audio input to generate text output, featuring capabilities such as reasoning with step-by-step logic and extensive image understanding including object detection and OCR. The model also supports video comprehension, native function calling for agent workflows, and code generation and correction across multiple languages.

Available for rapid deployment via SageMaker Studio or the Python SDK, Gemma-4-E2B-it is optimized for local execution on AWS infrastructure, enabling customers to build versatile AI solutions incorporating multimodal inputs with state-of-the-art reasoning functions.

Source & further reading

Gemma-4-E2B-it for is now available in Amazon SageMaker JumpStart ↗

Source published 2026-07-13. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.